控制图用于建立和监测点超声检测肺b线的熟练程度

Q4 Engineering
Sandra Patricia Usaquén-Perilla, Deliana Ropero-Rojas, Jaime Mosquera-Restrepo, Jonathan D. Kirsch, Zachary P. Kaltenborn, J. I. García-Melo, Lyda Elena Osorio-Amaya
{"title":"控制图用于建立和监测点超声检测肺b线的熟练程度","authors":"Sandra Patricia Usaquén-Perilla, Deliana Ropero-Rojas, Jaime Mosquera-Restrepo, Jonathan D. Kirsch, Zachary P. Kaltenborn, J. I. García-Melo, Lyda Elena Osorio-Amaya","doi":"10.11144/javeriana.iued27.ccem","DOIUrl":null,"url":null,"abstract":"Objective: Point of care ultrasound (POCUS) is a widely used clinical tool. This operator-dependent technique requires methods to establish individual benchmarks and to monitor the learning process. We present the use of the learning curve standard cumulative summation (LC-CUSUM) and CUSUM control charts to establish and monitor, respectively, the proficiency of a physician to detect pulmonary B-lines with POCUS. Materials and Methods: A training course for general practitioners was conducted to detect plasma leakage using POCUS. The trainees and an expert radiologist identified the number of pulmonary B-lines in the POCUS images of 53 hospitalized patients. The interpretation of one trainee was compared to that of the expert radiologist using LC-CUSUM and CUSUM considering image quality and anatomical site. Results and Discussion: We found that image quality was better in the apices than the bases of the lungs. The trainee learning curve differed by anatomical site and the results of LC-CUSUM and CUSUM differed when only high-quality (first scenario) or all images (second scenario) were included in the analysis. Conclusion: The LC-CUSUM and CUSUM control charts were useful to evaluate the learning curve in this case and to identify image quality as an important factor in the evaluation process. They warrant further study as graphical tools for real-time monitoring of POCUS training.","PeriodicalId":39036,"journal":{"name":"Ingenieria y Universidad","volume":"25 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Control charts to establish and monitor proficiency in the detection of pulmonary B-lines with Point of Care Ultrasound\",\"authors\":\"Sandra Patricia Usaquén-Perilla, Deliana Ropero-Rojas, Jaime Mosquera-Restrepo, Jonathan D. Kirsch, Zachary P. Kaltenborn, J. I. García-Melo, Lyda Elena Osorio-Amaya\",\"doi\":\"10.11144/javeriana.iued27.ccem\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Objective: Point of care ultrasound (POCUS) is a widely used clinical tool. This operator-dependent technique requires methods to establish individual benchmarks and to monitor the learning process. We present the use of the learning curve standard cumulative summation (LC-CUSUM) and CUSUM control charts to establish and monitor, respectively, the proficiency of a physician to detect pulmonary B-lines with POCUS. Materials and Methods: A training course for general practitioners was conducted to detect plasma leakage using POCUS. The trainees and an expert radiologist identified the number of pulmonary B-lines in the POCUS images of 53 hospitalized patients. The interpretation of one trainee was compared to that of the expert radiologist using LC-CUSUM and CUSUM considering image quality and anatomical site. Results and Discussion: We found that image quality was better in the apices than the bases of the lungs. The trainee learning curve differed by anatomical site and the results of LC-CUSUM and CUSUM differed when only high-quality (first scenario) or all images (second scenario) were included in the analysis. Conclusion: The LC-CUSUM and CUSUM control charts were useful to evaluate the learning curve in this case and to identify image quality as an important factor in the evaluation process. They warrant further study as graphical tools for real-time monitoring of POCUS training.\",\"PeriodicalId\":39036,\"journal\":{\"name\":\"Ingenieria y Universidad\",\"volume\":\"25 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ingenieria y Universidad\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.11144/javeriana.iued27.ccem\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Engineering\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ingenieria y Universidad","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.11144/javeriana.iued27.ccem","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 0

摘要

目的:护理点超声(POCUS)是一种广泛应用的临床工具。这种依赖于操作者的技术需要建立单独的基准和监控学习过程的方法。我们介绍了学习曲线标准累积求和(LC-CUSUM)和CUSUM控制图的使用,分别建立和监测医生对POCUS检测肺b线的熟练程度。材料与方法:对全科医生进行POCUS检测血浆泄漏的培训。受训人员和放射科专家在53名住院患者的POCUS图像中确定了肺b线的数量。考虑图像质量和解剖位置,使用LC-CUSUM和CUSUM将一名受训者的解释与放射科专家的解释进行比较。结果与讨论:我们发现顶端的图像质量比底部的好。学员的学习曲线因解剖部位而异,LC-CUSUM和CUSUM的结果在只包括高质量图像(第一种情况)或所有图像(第二种情况)时存在差异。结论:LC-CUSUM和CUSUM控制图可用于评估本病例的学习曲线,并确定图像质量是评估过程中的重要因素。它们作为实时监测POCUS培训的图形工具值得进一步研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Control charts to establish and monitor proficiency in the detection of pulmonary B-lines with Point of Care Ultrasound
Objective: Point of care ultrasound (POCUS) is a widely used clinical tool. This operator-dependent technique requires methods to establish individual benchmarks and to monitor the learning process. We present the use of the learning curve standard cumulative summation (LC-CUSUM) and CUSUM control charts to establish and monitor, respectively, the proficiency of a physician to detect pulmonary B-lines with POCUS. Materials and Methods: A training course for general practitioners was conducted to detect plasma leakage using POCUS. The trainees and an expert radiologist identified the number of pulmonary B-lines in the POCUS images of 53 hospitalized patients. The interpretation of one trainee was compared to that of the expert radiologist using LC-CUSUM and CUSUM considering image quality and anatomical site. Results and Discussion: We found that image quality was better in the apices than the bases of the lungs. The trainee learning curve differed by anatomical site and the results of LC-CUSUM and CUSUM differed when only high-quality (first scenario) or all images (second scenario) were included in the analysis. Conclusion: The LC-CUSUM and CUSUM control charts were useful to evaluate the learning curve in this case and to identify image quality as an important factor in the evaluation process. They warrant further study as graphical tools for real-time monitoring of POCUS training.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Ingenieria y Universidad
Ingenieria y Universidad Engineering-Engineering (all)
CiteScore
0.80
自引率
0.00%
发文量
0
期刊介绍: Our journal''s main objective is to serve as a medium for the diffusion and divulgation of the articles and investigations in the engineering scientific and investigative fields. All the documents presented as result of an investigation will be received, as well as any review about engineering, this includes essays that might contribute to the academic and scientific discussion of any of the branches of engineering. Any contribution to the subject related to engineering development, ethics, values, or its relations with policies, culture, society and environmental fields are welcome. The publication frequency is semestral.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信